Turn your raw data into opportunities.
Unify. Predict. Execute.
Titane consolidates your data streams and deploys its deep learning models to predict buying behaviour. Identify hidden revenue opportunities and instantly trigger the optimal actions, across all your customer touchpoints.
France’s leading power-tool retailer, with 100,000 references.
A peer-to-peer giving app with 7 million users.
A dozen other sites have already connected their tools to Titane.
From raw data to predictions that pay off.
Titane detects business opportunities
Titane analyzes your data and fuses it with its five proprietary algorithms to detect concrete business opportunities, ready to be put in place easily.
Titane analyzed your customers and, using its algorithm, identified the 5,000 customers most likely to convert this week. We recommend creating an automated email flow that contacts customers in the conversion stage every week, with personalized product recommendations.
Titane spotted 1,200 high-value customers whose buying rhythm is slowing down. We recommend creating an automated winback flow, triggered as soon as the drop-off is detected, featuring the products each customer is most likely to buy again.
Titane identified the 3,000 customers whose estimated future value is highest. We recommend using them as a source audience in Meta Ads to target similar profiles, with a carousel ad featuring the products these customers like most.
Put them in place simply
With its documentation and its MCP connection to your favorite AI, Titane lets you build the highest-value use cases yourself, across all your customer touchpoints.
Seven proprietary models, built for e-commerce.
One deep learning architecture per question, from the customer drifting away to the product about to run out.
Personalized per-customer recommendations
TITAN-REC analyzes 47 signals per customer — purchase history, browsing behavior, complementary products, market trends, weather, seasonality — to generate individual recommendations across your entire catalog. The right products, for the right person, at the right time.
See the model →Complementary product recommendations
TITAN-LINK recommends, for each product, the most relevant complements in actual use — even those that don’t surface from co-purchases alone. The model steers these recommendations toward your priorities: margin, trends, seasonality, or categories to push.
See the model →Churn detection and personalized actions
TITAN-CORE detects, for each customer, whether they are Active, Spacing out, Slipping away, or Inactive. The model analyzes more than 20 signals to tailor actions to their real situation: build loyalty, re-engage, retain, or win back.
See the model →Sales prediction and inventory management
TITAN-HORIZON combines 28 signals per product — sales history, stock levels, supplier lead times, weather, public holidays, advertising budget, e-commerce events, market trends — to generate a complete replenishment calendar, week by week, SKU by SKU.
See the model →Trending product detection
TITAN-TREND continuously monitors market signals — TikTok, Instagram, Pinterest, Reddit, Google, competitor launches — and fuses them to detect the products gaining momentum. The exact SKUs, the precise colorways, two to six weeks before it shows up in your sales.
See the model →New-signup scoring and activation
TITAN-FIRST scores every new signup from day zero, using browsing, acquisition, and context signals, to trigger differentiated welcome journeys that accelerate the first purchase.
Customer trajectory and need anticipation
TITAN-ARC learns each customer’s own rhythm — the sequence of their purchases, their browsing, and their needs over time — to anticipate their next need: a consumable to reorder, a project step to complete. This long-range reading feeds every TITAN model.
Titane deploys in a few clicks,
inside your tools.
And delivers its results every night, where your team already works.
